Naoki Tani

3.4k citations
114 papers · 2.0k indexed · 1 hit paper · h-index 21
Topics
EEG and Brain-Computer Interfaces (18 papers)Transcranial Magnetic Stimulation Studies (16 papers)Functional Brain Connectivity Studies (15 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaMolecular Cell
Partner nations
JapanUnited StatesCanada

In The Last Decade

Naoki Tani

100 papers receiving 2.0k citations

Hit Papers

PINK1 autophosphorylation upon membrane potential dissipa...20122026201620212012100200300400

Peers

Naoki Tani
Comparison fields: 5 of 123
  • Molecular Biology 764
  • Neurology 460
  • Epidemiology 366
  • Physiology 352
  • Neurology 334
Replace Vibhor Krishna with:
Vibhor Krishna United States
Toshio Asano Japan
Margarita Calvo Chile
Maureen Walberer Germany
P. Hauer United States
Alessandro Arrigo Italy
Karen‐Amanda Irvine United States
Lixian Xu China
Neil Collinson United Kingdom
Creed M. Stary United States
Naoki Tani relative to Vibhor Krishna United States Vibhor Krishna's profile →
Citations per field
00.5×4.6×
Vibhor Krishna · 1×
Citations per year

Countries citing papers authored by Naoki Tani

Since Specialization
Citations

This map shows the geographic impact of Naoki Tani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naoki Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Tani more than expected).

Fields of papers citing papers by Naoki Tani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naoki Tani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naoki Tani. The network helps show where Naoki Tani may publish in the future.

Co-authorship network of co-authors of Naoki Tani

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Tani. A scholar is included among the top collaborators of Naoki Tani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naoki Tani. Naoki Tani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 4
3 2
4 6
5 17
6 0
7 7
8 5
9 14
10 1
11 1
12 9
13 25
14 36
15 3
16 97
17 1
18 3
19 16
20 1

About Naoki Tani

Naoki Tani is a scholar working on Neurology, Cognitive Neuroscience and Anesthesiology and Pain Medicine, having authored 114 papers that have together received 2.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Transcranial Magnetic Stimulation Studies (16 papers) and Functional Brain Connectivity Studies (15 papers). The work is most often cited by research in Neurology (334 citations), Anesthesiology and Pain Medicine (207 citations) and Neurology (460 citations). Naoki Tani has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Haruhiko Kishima, Satoru Oshino, Youichi Saitoh, Toshiki Yoshimine, Koichi Hosomi, Masayuki Hirata, Hidetaka Kosako, Toshihiko Oka, Hui Ming Khoo and Toshio Shimokawa. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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